AdjScoreGenes: Use the Adjacency Score to evaluate colocalization of given...

In CamaraLab/STvEA: Spatially-resolved Transcriptomics via Epitope Anchoring

Use the Adjacency Score to evaluate colocalization of given pairs of genes mapped to the CODEX spatial positions

Description

Use the Adjacency Score to evaluate colocalization of given pairs of genes mapped to the CODEX spatial positions

Usage

AdjScoreGenes(
  stvea_object,
  gene_pairs,
  k = 5,
  c = 0,
  num_cores = 1,
  num_perms = 1000,
  perm_estimate = T
)

Arguments

stvea_object	STvEA.data class object with CITE-seq gene expression data, CODEX spatial coordinates, and transfer matrix from GetTransferMatrix
gene_pairs	a 2 column matrix of gene pairs where each row specifies the names of the genes in a pair
k	number of nearest neighbors to create graph from CODEX spatial information
c	constant used to determine width of diffusion, must be 0 <= c
num_cores	integer specifying the number of cores to be used in the computation. By default only one core is used. On Windows, this must be set to 1.
num_perms	number of permutations used to build the null distribution for each feature. By default is set to 1000.
perm_estimate	boolean indicating whether Gaussian distribution parameters should be determined from num_perms permutations to estimate the p-value. By default is set to TRUE.

CamaraLab/STvEA documentation built on April 2, 2024, 6:07 a.m.